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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIREC06080

Page Number

686-694

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Title

Intelligent And Secure Vehicular Network Using Machine Learning

ISSN

2349-5162

Cite This Article

"Intelligent And Secure Vehicular Network Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.686-694, December 2018, Available :http://www.jetir.org/papers/JETIREC06080.pdf

Abstract

Vehicle to vehicle communication is a crucial aspect in transportation at this age and the major concern is to have a secure network of communication for not only vehicle to vehicle but also for vehicle to infrastructure which includes the communication with RSU (Road Side Units). The main aim behind efficient vehicular communication is the safety of the driver and better traffic management with a target to have zero fatality transportation system. Jitter, PDR, TDR and throughput are the major factors to deal with while designing the algorithm. Machine Learning has been instrumental in providing solutions to the Secure V2V and V2I communication. This article talks about the basic concepts, challenges and the recent work done by researchers in the field. Towards the end Open Issues are addressed with the future scope of work.

Key Words

V2V, V2I, Machine Learning, DoS Attacks, QoS, Guaranteed Throughput

Cite This Article

"Intelligent And Secure Vehicular Network Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp686-694, December 2018, Available at : http://www.jetir.org/papers/JETIREC06080.pdf

Publication Details

Published Paper ID: JETIREC06080
Registration ID: 233541
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 686-694
ISSN Number: 2349-5162

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Cite This Article

"Intelligent And Secure Vehicular Network Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp686-694, December 2018, Available at : http://www.jetir.org/papers/JETIREC06080.pdf




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